Amazon Bedrock Medical Bot: Revolutionizing Patient Care

This research presents an AI-driven medical chatbot system leveraging AWS services to provide intelligent responses for minor medical symptoms, medical record analysis, and prescription interpretation. The architecture integrates multiple AWS components to ensure seamless text extraction, data processing, and contextual understanding. Users interact via Slack, submitting documents, PDFs, or images containing medical queries. Amazon Lex processes these inputs, directing them to Amazon S3 for secure storage. Amazon Textract extracts relevant text, which is then analysed by Amazon Comprehend Medical to identify key entities such as symptoms, medications, and diagnoses. Amazon Bedrock further enhances this workflow by employing advanced AI models to generate context-aware medical insights, offering users precise and reliable guidance. By automating text extraction, entity recognition, and medical data interpretation, this system enhances decision-making efficiency and accessibility in healthcare, making expert-level analysis more readily available to users.

Authors

Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/icict64420.2025.11004886
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
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article

Amazon Bedrock Medical Bot: Revolutionizing Patient Care

D. Pavithra, M Divya
1 citations
Blockchain Technology Applications and Security
3.25
article

Amazon Bedrock Medical Bot: Revolutionizing Patient Care

D. Pavithra, M Divya
article en
1 citations

Abstract

This research presents an AI-driven medical chatbot system leveraging AWS services to provide intelligent responses for minor medical symptoms, medical record analysis, and prescription interpretation. The architecture integrates multiple AWS components to ensure seamless text extraction, data processing, and contextual understanding. Users interact via Slack, submitting documents, PDFs, or images containing medical queries. Amazon Lex processes these inputs, directing them to Amazon S3 for secure storage. Amazon Textract extracts relevant text, which is then analysed by Amazon Comprehend Medical to identify key entities such as symptoms, medications, and diagnoses. Amazon Bedrock further enhances this workflow by employing advanced AI models to generate context-aware medical insights, offering users precise and reliable guidance. By automating text extraction, entity recognition, and medical data interpretation, this system enhances decision-making efficiency and accessibility in healthcare, making expert-level analysis more readily available to users.

Openalex Percentile: Top 9%
Blockchain Technology Applications and Security
3.25
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